Probability Integral Transform is a statistical method that transforms a random variable's observed values into uniformly distributed values on the unit interval by applying the cumulative distribution function of the variable's predicted distribution, thereby enabling the evaluation of probabilistic forecast calibration.
160
Publications
16.4K
Citations
412
Authors
236
Institutions
Publications per year
2017–2026
32
Parents
Publications
160
Journal of the Franklin Institute · 1954 · 2.9K citations
Tilmann Gneiting · Annual Review of Statistics and Its Application · 2014 · 856 citations
Critical Values for Duncan's New Multiple Range Test
H. Leon Harter · Biometrics · 1960 · 647 citations
1–5 of 160
Authors
412
- HF
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- ES
4
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- TG
4
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3
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- CG
3
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1–5 of 412
Institutions
236
China University of Mining and Technology
Xuzhou, China
9 h-index
25 publications
814 citations
China Academy of Space Technology
Beijing, China
3 h-index
6 publications
105 citations
Anhui University of Science and Technology
Huainan, China
3 h-index
10 publications
131 citations
Princeton University
Princeton, United States
3 h-index
4 publications
390 citations
The Ohio State University
Columbus, United States
3 h-index
5 publications
256 citations
University of Virginia
Charlottesville, United States
3 h-index
3 publications
117 citations
Texas A&M University
College Station, United States
3 h-index
3 publications
243 citations
University of Warwick
Coventry, United Kingdom
3 h-index
6 publications
658 citations
1–8 of 236
Venues
- Biometrika
11 publications · 516 citations
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- Journal of the American Statistical Association
5 publications · 357 citations
5
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- The Annals of Mathematical Statistics
4 publications · 473 citations
4
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- SSRN Electronic Journal
Repository · 4 publications · 155 citations
4
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- The Annals of Statistics
3 publications · 595 citations
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